Overview

Dataset statistics

Number of variables19
Number of observations17290
Missing cells0
Missing cells (%)0.0%
Duplicate rows4
Duplicate rows (%)< 0.1%
Total size in memory2.5 MiB
Average record size in memory152.0 B

Variable types

NUM18
BOOL1

Warnings

Dataset has 4 (< 0.1%) duplicate rows Duplicates
view has 15594 (90.2%) zeros Zeros
sqft_basement has 10524 (60.9%) zeros Zeros
yr_renovated has 16573 (95.9%) zeros Zeros

Reproduction

Analysis started2020-11-23 16:27:45.564969
Analysis finished2020-11-23 16:28:37.499511
Duration51.93 seconds
Software versionpandas-profiling v2.9.0
Download configurationconfig.yaml

Variables

price
Real number (ℝ≥0)

Distinct3536
Distinct (%)20.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean539524.7534
Minimum75000
Maximum7700000
Zeros0
Zeros (%)0.0%
Memory size135.1 KiB
2020-11-23T11:28:37.632957image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum75000
5-th percentile210000
Q1322000
median450000
Q3645000
95-th percentile1150000
Maximum7700000
Range7625000
Interquartile range (IQR)323000

Descriptive statistics

Standard deviation367129.5559
Coefficient of variation (CV)0.6804684189
Kurtosis34.31837739
Mean539524.7534
Median Absolute Deviation (MAD)150000
Skewness4.046741542
Sum9328382986
Variance1.347841108e+11
MonotocityNot monotonic
2020-11-23T11:28:37.754661image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
4500001490.9%
 
3500001370.8%
 
5000001230.7%
 
4250001200.7%
 
5500001200.7%
 
3250001150.7%
 
4000001130.7%
 
3750001100.6%
 
2500001050.6%
 
3000001030.6%
 
Other values (3526)1609593.1%
 
ValueCountFrequency (%) 
750001< 0.1%
 
780001< 0.1%
 
800001< 0.1%
 
810001< 0.1%
 
820001< 0.1%
 
ValueCountFrequency (%) 
77000001< 0.1%
 
68850001< 0.1%
 
55700001< 0.1%
 
53500001< 0.1%
 
53000001< 0.1%
 

bedrooms
Real number (ℝ≥0)

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.364777328
Minimum0
Maximum33
Zeros12
Zeros (%)0.1%
Memory size135.1 KiB
2020-11-23T11:28:38.237867image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum33
Range33
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9345629525
Coefficient of variation (CV)0.277748826
Kurtosis59.69661587
Mean3.364777328
Median Absolute Deviation (MAD)1
Skewness2.291539103
Sum58177
Variance0.8734079121
MonotocityNot monotonic
2020-11-23T11:28:38.325073image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%) 
3788845.6%
 
4547131.6%
 
2222212.9%
 
512717.4%
 
62101.2%
 
11661.0%
 
7300.2%
 
8130.1%
 
0120.1%
 
94< 0.1%
 
Other values (3)3< 0.1%
 
ValueCountFrequency (%) 
0120.1%
 
11661.0%
 
2222212.9%
 
3788845.6%
 
4547131.6%
 
ValueCountFrequency (%) 
331< 0.1%
 
111< 0.1%
 
101< 0.1%
 
94< 0.1%
 
8130.1%
 

bathrooms
Real number (ℝ≥0)

Distinct29
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.110598612
Minimum0
Maximum8
Zeros9
Zeros (%)0.1%
Memory size135.1 KiB
2020-11-23T11:28:38.423160image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11.5
median2.25
Q32.5
95-th percentile3.5
Maximum8
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7691985407
Coefficient of variation (CV)0.3644456774
Kurtosis1.275629087
Mean2.110598612
Median Absolute Deviation (MAD)0.5
Skewness0.501743885
Sum36492.25
Variance0.5916663951
MonotocityNot monotonic
2020-11-23T11:28:38.522673image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%) 
2.5435525.2%
 
1311118.0%
 
1.75244414.1%
 
2.2516159.3%
 
215288.8%
 
1.511536.7%
 
2.759155.3%
 
35883.4%
 
3.55833.4%
 
3.254872.8%
 
Other values (19)5113.0%
 
ValueCountFrequency (%) 
090.1%
 
0.53< 0.1%
 
0.75610.4%
 
1311118.0%
 
1.258< 0.1%
 
ValueCountFrequency (%) 
82< 0.1%
 
7.751< 0.1%
 
7.51< 0.1%
 
6.51< 0.1%
 
6.251< 0.1%
 

sqft_living
Real number (ℝ≥0)

Distinct927
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2074.043378
Minimum290
Maximum13540
Zeros0
Zeros (%)0.0%
Memory size135.1 KiB
2020-11-23T11:28:38.634053image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum290
5-th percentile930
Q11420
median1910
Q32540
95-th percentile3760
Maximum13540
Range13250
Interquartile range (IQR)1120

Descriptive statistics

Standard deviation912.9222551
Coefficient of variation (CV)0.4401654589
Kurtosis5.326136058
Mean2074.043378
Median Absolute Deviation (MAD)550
Skewness1.456396663
Sum35860210
Variance833427.0439
MonotocityNot monotonic
2020-11-23T11:28:38.754554image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
14001180.7%
 
16601100.6%
 
13001090.6%
 
18001060.6%
 
14801060.6%
 
10101040.6%
 
18201010.6%
 
17201010.6%
 
14401000.6%
 
12501000.6%
 
Other values (917)1623593.9%
 
ValueCountFrequency (%) 
2901< 0.1%
 
3701< 0.1%
 
3841< 0.1%
 
3902< 0.1%
 
4101< 0.1%
 
ValueCountFrequency (%) 
135401< 0.1%
 
120501< 0.1%
 
98901< 0.1%
 
92001< 0.1%
 
86701< 0.1%
 

sqft_lot
Real number (ℝ≥0)

Distinct8452
Distinct (%)48.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15195.02707
Minimum520
Maximum1651359
Zeros0
Zeros (%)0.0%
Memory size135.1 KiB
2020-11-23T11:28:38.882327image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum520
5-th percentile1793
Q15030.75
median7590
Q310676.5
95-th percentile43327.95
Maximum1651359
Range1650839
Interquartile range (IQR)5645.75

Descriptive statistics

Standard deviation42821.05179
Coefficient of variation (CV)2.818096447
Kurtosis299.8414412
Mean15195.02707
Median Absolute Deviation (MAD)2610
Skewness13.54738572
Sum262722018
Variance1833642476
MonotocityNot monotonic
2020-11-23T11:28:39.002685image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
50002921.7%
 
60002401.4%
 
40002071.2%
 
72001741.0%
 
4500940.5%
 
7500900.5%
 
4800870.5%
 
9600860.5%
 
8400850.5%
 
3600830.5%
 
Other values (8442)1585291.7%
 
ValueCountFrequency (%) 
5201< 0.1%
 
5721< 0.1%
 
6091< 0.1%
 
6381< 0.1%
 
6492< 0.1%
 
ValueCountFrequency (%) 
16513591< 0.1%
 
11647941< 0.1%
 
10742181< 0.1%
 
10240681< 0.1%
 
9829981< 0.1%
 

floors
Real number (ℝ≥0)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.49534413
Minimum1
Maximum3.5
Zeros0
Zeros (%)0.0%
Memory size135.1 KiB
2020-11-23T11:28:39.104294image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1.5
Q32
95-th percentile2
Maximum3.5
Range2.5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5406370881
Coefficient of variation (CV)0.3615469359
Kurtosis-0.4813253064
Mean1.49534413
Median Absolute Deviation (MAD)0.5
Skewness0.616994643
Sum25854.5
Variance0.292288461
MonotocityNot monotonic
2020-11-23T11:28:39.191876image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
1852949.3%
 
2658938.1%
 
1.515378.9%
 
34972.9%
 
2.51320.8%
 
3.56< 0.1%
 
ValueCountFrequency (%) 
1852949.3%
 
1.515378.9%
 
2658938.1%
 
2.51320.8%
 
34972.9%
 
ValueCountFrequency (%) 
3.56< 0.1%
 
34972.9%
 
2.51320.8%
 
2658938.1%
 
1.515378.9%
 

waterfront
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size135.1 KiB
0
17152 
1
 
138
ValueCountFrequency (%) 
01715299.2%
 
11380.8%
 
2020-11-23T11:28:39.256137image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

view
Real number (ℝ≥0)

ZEROS

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2346443031
Minimum0
Maximum4
Zeros15594
Zeros (%)90.2%
Memory size135.1 KiB
2020-11-23T11:28:39.309781image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum4
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7680595297
Coefficient of variation (CV)3.273292893
Kurtosis10.92832371
Mean0.2346443031
Median Absolute Deviation (MAD)0
Skewness3.399929342
Sum4057
Variance0.5899154412
MonotocityNot monotonic
2020-11-23T11:28:39.444696image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
01559490.2%
 
27784.5%
 
33972.3%
 
42631.5%
 
12581.5%
 
ValueCountFrequency (%) 
01559490.2%
 
12581.5%
 
27784.5%
 
33972.3%
 
42631.5%
 
ValueCountFrequency (%) 
42631.5%
 
33972.3%
 
27784.5%
 
12581.5%
 
01559490.2%
 

condition
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.411220359
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size135.1 KiB
2020-11-23T11:28:39.579070image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6521153241
Coefficient of variation (CV)0.191167751
Kurtosis0.5014409231
Mean3.411220359
Median Absolute Deviation (MAD)0
Skewness1.039964803
Sum58980
Variance0.4252543959
MonotocityNot monotonic
2020-11-23T11:28:39.675709image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
31122064.9%
 
4453126.2%
 
513808.0%
 
21370.8%
 
1220.1%
 
ValueCountFrequency (%) 
1220.1%
 
21370.8%
 
31122064.9%
 
4453126.2%
 
513808.0%
 
ValueCountFrequency (%) 
513808.0%
 
4453126.2%
 
31122064.9%
 
21370.8%
 
1220.1%
 

grade
Real number (ℝ≥0)

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.654829381
Minimum1
Maximum13
Zeros0
Zeros (%)0.0%
Memory size135.1 KiB
2020-11-23T11:28:39.770553image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6
Q17
median7
Q38
95-th percentile10
Maximum13
Range12
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.180167091
Coefficient of variation (CV)0.15417288
Kurtosis1.226700173
Mean7.654829381
Median Absolute Deviation (MAD)1
Skewness0.7723409084
Sum132352
Variance1.392794363
MonotocityNot monotonic
2020-11-23T11:28:39.878732image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%) 
7717841.5%
 
8485628.1%
 
9205611.9%
 
616439.5%
 
109295.4%
 
113131.8%
 
52011.2%
 
12750.4%
 
4230.1%
 
13120.1%
 
Other values (2)4< 0.1%
 
ValueCountFrequency (%) 
11< 0.1%
 
33< 0.1%
 
4230.1%
 
52011.2%
 
616439.5%
 
ValueCountFrequency (%) 
13120.1%
 
12750.4%
 
113131.8%
 
109295.4%
 
9205611.9%
 

sqft_above
Real number (ℝ≥0)

Distinct844
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1784.347715
Minimum290
Maximum9410
Zeros0
Zeros (%)0.0%
Memory size135.1 KiB
2020-11-23T11:28:40.004373image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum290
5-th percentile850
Q11190
median1560
Q32210
95-th percentile3375.5
Maximum9410
Range9120
Interquartile range (IQR)1020

Descriptive statistics

Standard deviation822.5892842
Coefficient of variation (CV)0.4610027951
Kurtosis3.262076156
Mean1784.347715
Median Absolute Deviation (MAD)460
Skewness1.412496269
Sum30851372
Variance676653.1305
MonotocityNot monotonic
2020-11-23T11:28:40.140649image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
10101701.0%
 
13001671.0%
 
12001630.9%
 
12201530.9%
 
10601470.9%
 
14001470.9%
 
13401450.8%
 
11401430.8%
 
12501410.8%
 
13201380.8%
 
Other values (834)1577691.2%
 
ValueCountFrequency (%) 
2901< 0.1%
 
3701< 0.1%
 
3841< 0.1%
 
3902< 0.1%
 
4101< 0.1%
 
ValueCountFrequency (%) 
94101< 0.1%
 
88601< 0.1%
 
85701< 0.1%
 
78801< 0.1%
 
78501< 0.1%
 

sqft_basement
Real number (ℝ≥0)

ZEROS

Distinct284
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean289.6956622
Minimum0
Maximum4130
Zeros10524
Zeros (%)60.9%
Memory size135.1 KiB
2020-11-23T11:28:40.278648image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3560
95-th percentile1190
Maximum4130
Range4130
Interquartile range (IQR)560

Descriptive statistics

Standard deviation440.1041734
Coefficient of variation (CV)1.519194903
Kurtosis2.328653533
Mean289.6956622
Median Absolute Deviation (MAD)0
Skewness1.549080927
Sum5008838
Variance193691.6834
MonotocityNot monotonic
2020-11-23T11:28:40.401853image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
01052460.9%
 
6001821.1%
 
7001741.0%
 
5001721.0%
 
8001590.9%
 
4001470.9%
 
9001180.7%
 
3001120.6%
 
10001110.6%
 
530900.5%
 
Other values (274)550131.8%
 
ValueCountFrequency (%) 
01052460.9%
 
101< 0.1%
 
403< 0.1%
 
507< 0.1%
 
608< 0.1%
 
ValueCountFrequency (%) 
41301< 0.1%
 
35001< 0.1%
 
34801< 0.1%
 
30001< 0.1%
 
28101< 0.1%
 

yr_built
Real number (ℝ≥0)

Distinct116
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1970.821168
Minimum1900
Maximum2015
Zeros0
Zeros (%)0.0%
Memory size135.1 KiB
2020-11-23T11:28:40.526286image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum1900
5-th percentile1915
Q11951
median1975
Q31997
95-th percentile2010
Maximum2015
Range115
Interquartile range (IQR)46

Descriptive statistics

Standard deviation29.51234269
Coefficient of variation (CV)0.01497464263
Kurtosis-0.6807703274
Mean1970.821168
Median Absolute Deviation (MAD)23
Skewness-0.4653341188
Sum34075498
Variance870.9783708
MonotocityNot monotonic
2020-11-23T11:28:40.656822image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
20144422.6%
 
20063832.2%
 
20053712.1%
 
20043452.0%
 
20033422.0%
 
19773301.9%
 
20073271.9%
 
19783101.8%
 
19683081.8%
 
19672831.6%
 
Other values (106)1384980.1%
 
ValueCountFrequency (%) 
1900700.4%
 
1901240.1%
 
1902200.1%
 
1903380.2%
 
1904400.2%
 
ValueCountFrequency (%) 
2015320.2%
 
20144422.6%
 
20131500.9%
 
20121360.8%
 
20111000.6%
 

yr_renovated
Real number (ℝ≥0)

ZEROS

Distinct66
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean82.77362637
Minimum0
Maximum2015
Zeros16573
Zeros (%)95.9%
Memory size135.1 KiB
2020-11-23T11:28:40.792206image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2015
Range2015
Interquartile range (IQR)0

Descriptive statistics

Standard deviation397.9776168
Coefficient of variation (CV)4.808024418
Kurtosis19.16917439
Mean82.77362637
Median Absolute Deviation (MAD)0
Skewness4.600593497
Sum1431156
Variance158386.1835
MonotocityNot monotonic
2020-11-23T11:28:40.934285image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
01657395.9%
 
2014720.4%
 
2000310.2%
 
2003280.2%
 
2013270.2%
 
2007260.2%
 
2005240.1%
 
2006210.1%
 
2004200.1%
 
1990190.1%
 
Other values (56)4492.6%
 
ValueCountFrequency (%) 
01657395.9%
 
19402< 0.1%
 
19441< 0.1%
 
19453< 0.1%
 
19461< 0.1%
 
ValueCountFrequency (%) 
2015150.1%
 
2014720.4%
 
2013270.2%
 
201290.1%
 
20117< 0.1%
 

zipcode
Real number (ℝ≥0)

Distinct70
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean98077.8251
Minimum98001
Maximum98199
Zeros0
Zeros (%)0.0%
Memory size135.1 KiB
2020-11-23T11:28:41.077302image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum98001
5-th percentile98004
Q198033
median98065
Q398117
95-th percentile98177
Maximum98199
Range198
Interquartile range (IQR)84

Descriptive statistics

Standard deviation53.30329337
Coefficient of variation (CV)0.0005434795614
Kurtosis-0.8525081386
Mean98077.8251
Median Absolute Deviation (MAD)42
Skewness0.401199936
Sum1695765596
Variance2841.241084
MonotocityNot monotonic
2020-11-23T11:28:41.200371image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
981154842.8%
 
981174812.8%
 
980384722.7%
 
980524702.7%
 
981034692.7%
 
980344402.5%
 
980424342.5%
 
981184312.5%
 
980233992.3%
 
981333942.3%
 
Other values (60)1281674.1%
 
ValueCountFrequency (%) 
980012771.6%
 
980021610.9%
 
980032361.4%
 
980042581.5%
 
980051260.7%
 
ValueCountFrequency (%) 
981992491.4%
 
981982151.2%
 
981881080.6%
 
981782061.2%
 
981772021.2%
 

lat
Real number (ℝ≥0)

Distinct4832
Distinct (%)27.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47.56018304
Minimum47.1647
Maximum47.7776
Zeros0
Zeros (%)0.0%
Memory size135.1 KiB
2020-11-23T11:28:41.327419image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum47.1647
5-th percentile47.3109
Q147.4713
median47.572
Q347.6783
95-th percentile47.7494
Maximum47.7776
Range0.6129
Interquartile range (IQR)0.207

Descriptive statistics

Standard deviation0.1385656812
Coefficient of variation (CV)0.002913480822
Kurtosis-0.6773150498
Mean47.56018304
Median Absolute Deviation (MAD)0.1049
Skewness-0.4888071489
Sum822315.5647
Variance0.019200448
MonotocityNot monotonic
2020-11-23T11:28:41.441998image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
47.5322160.1%
 
47.5533140.1%
 
47.6886130.1%
 
47.6846130.1%
 
47.5491130.1%
 
47.6904130.1%
 
47.7145120.1%
 
47.5427120.1%
 
47.6914120.1%
 
47.6754120.1%
 
Other values (4822)1716099.2%
 
ValueCountFrequency (%) 
47.16471< 0.1%
 
47.17762< 0.1%
 
47.17951< 0.1%
 
47.18031< 0.1%
 
47.18081< 0.1%
 
ValueCountFrequency (%) 
47.77763< 0.1%
 
47.77752< 0.1%
 
47.77741< 0.1%
 
47.77723< 0.1%
 
47.77711< 0.1%
 

long
Real number (ℝ)

Distinct735
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-122.2136619
Minimum-122.514
Maximum-121.315
Zeros0
Zeros (%)0.0%
Memory size135.1 KiB
2020-11-23T11:28:41.559431image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum-122.514
5-th percentile-122.387
Q1-122.328
median-122.231
Q3-122.124
95-th percentile-121.978
Maximum-121.315
Range1.199
Interquartile range (IQR)0.204

Descriptive statistics

Standard deviation0.1413044141
Coefficient of variation (CV)-0.001156208004
Kurtosis1.108999643
Mean-122.2136619
Median Absolute Deviation (MAD)0.101
Skewness0.8949016449
Sum-2113074.214
Variance0.01996693744
MonotocityNot monotonic
2020-11-23T11:28:41.683265image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-122.291000.6%
 
-122.3900.5%
 
-122.362890.5%
 
-122.291880.5%
 
-122.288840.5%
 
-122.372810.5%
 
-122.172800.5%
 
-122.363800.5%
 
-122.375780.5%
 
-122.299780.5%
 
Other values (725)1644295.1%
 
ValueCountFrequency (%) 
-122.5141< 0.1%
 
-122.5121< 0.1%
 
-122.5112< 0.1%
 
-122.5092< 0.1%
 
-122.5071< 0.1%
 
ValueCountFrequency (%) 
-121.3152< 0.1%
 
-121.3161< 0.1%
 
-121.3191< 0.1%
 
-121.3211< 0.1%
 
-121.3251< 0.1%
 

sqft_living15
Real number (ℝ≥0)

Distinct713
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1986.67941
Minimum399
Maximum6210
Zeros0
Zeros (%)0.0%
Memory size135.1 KiB
2020-11-23T11:28:41.801963image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum399
5-th percentile1140
Q11490
median1840
Q32360
95-th percentile3300
Maximum6210
Range5811
Interquartile range (IQR)870

Descriptive statistics

Standard deviation683.2534721
Coefficient of variation (CV)0.3439173269
Kurtosis1.437062962
Mean1986.67941
Median Absolute Deviation (MAD)410
Skewness1.079476076
Sum34349687
Variance466835.3071
MonotocityNot monotonic
2020-11-23T11:28:41.916061image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
15601580.9%
 
15401560.9%
 
14401510.9%
 
15001400.8%
 
15501350.8%
 
17601340.8%
 
14601330.8%
 
15801330.8%
 
16201310.8%
 
14801310.8%
 
Other values (703)1588891.9%
 
ValueCountFrequency (%) 
3991< 0.1%
 
4602< 0.1%
 
6201< 0.1%
 
6701< 0.1%
 
6901< 0.1%
 
ValueCountFrequency (%) 
62101< 0.1%
 
57905< 0.1%
 
53801< 0.1%
 
52201< 0.1%
 
51701< 0.1%
 

sqft_lot15
Real number (ℝ≥0)

Distinct7562
Distinct (%)43.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12845.61174
Minimum651
Maximum871200
Zeros0
Zeros (%)0.0%
Memory size135.1 KiB
2020-11-23T11:28:42.039488image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum651
5-th percentile1966.35
Q15100
median7600
Q310078.75
95-th percentile37287.05
Maximum871200
Range870549
Interquartile range (IQR)4978.75

Descriptive statistics

Standard deviation28028.1806
Coefficient of variation (CV)2.181926495
Kurtosis159.9661426
Mean12845.61174
Median Absolute Deviation (MAD)2500
Skewness9.779303265
Sum222100627
Variance785578907.8
MonotocityNot monotonic
2020-11-23T11:28:42.153662image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
50003402.0%
 
40002871.7%
 
60002391.4%
 
72001640.9%
 
75001100.6%
 
48001090.6%
 
3600910.5%
 
5100890.5%
 
4500880.5%
 
8000860.5%
 
Other values (7552)1568790.7%
 
ValueCountFrequency (%) 
6511< 0.1%
 
6591< 0.1%
 
6601< 0.1%
 
7482< 0.1%
 
7504< 0.1%
 
ValueCountFrequency (%) 
8712001< 0.1%
 
8581321< 0.1%
 
5606171< 0.1%
 
4382131< 0.1%
 
4347281< 0.1%
 

Interactions

2020-11-23T11:27:49.900990image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:27:50.035062image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:27:50.148140image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:27:50.265130image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:27:50.384020image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:27:50.501290image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:27:50.611679image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:27:50.728383image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:27:50.847114image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:27:50.957686image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:27:51.068916image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:27:51.176942image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:27:51.290604image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:27:51.410030image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:27:51.529620image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:27:51.643160image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:27:51.756330image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:27:51.868239image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:27:51.978959image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:27:52.088828image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:27:52.193491image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:27:52.303621image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:27:52.412977image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:27:52.522630image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:27:52.625401image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:27:52.735756image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:27:52.845591image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:27:53.089794image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:27:53.195515image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:27:53.296687image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:27:53.404181image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:27:53.516233image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:27:53.629702image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:27:53.735463image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:27:53.839004image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:27:53.944637image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:27:54.045918image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:27:54.163448image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:27:54.273885image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:27:54.389443image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:27:54.503316image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:27:54.616412image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:27:54.725933image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:27:54.842557image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:27:54.963738image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:27:55.073226image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:27:55.180313image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:27:55.288505image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:27:55.400445image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:27:55.517619image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:27:55.637312image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:27:55.750145image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:27:55.864287image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:27:55.975351image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:27:56.083269image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:27:56.197715image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:27:56.306007image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:27:56.426956image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:27:56.542319image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:27:56.655160image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:27:56.762108image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:27:56.878208image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:27:56.995435image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:27:57.100575image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:27:57.206144image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:27:57.458913image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:27:57.593062image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:27:57.738126image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:27:57.868912image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:27:57.992025image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:27:58.116949image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:27:58.251293image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:27:58.367790image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:27:58.490648image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:27:58.613246image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:27:58.755184image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:27:58.880010image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:27:59.002693image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:27:59.163283image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:27:59.352869image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:27:59.637402image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:27:59.843338image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:28:00.038650image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:28:00.189164image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:28:00.319949image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:28:00.434406image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:28:00.556344image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:28:00.669270image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:28:00.829199image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:28:01.318239image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:28:01.640107image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:28:01.894967image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:28:02.034429image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:28:02.177825image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:28:02.329215image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:28:02.620851image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:28:02.785038image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:28:02.905721image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:28:03.108549image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:28:03.551827image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:28:04.012210image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:28:04.293283image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:28:04.415326image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:28:04.558437image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:28:04.967452image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:28:05.421761image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:28:05.747845image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:28:05.998020image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:28:06.171384image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:28:06.938101image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:28:07.265867image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:28:07.544673image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:28:08.004437image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:28:08.747127image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:28:08.925860image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:28:09.144054image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:28:09.294916image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:28:09.497327image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:28:09.614806image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:28:09.731650image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:28:09.848122image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:28:09.976374image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:28:10.098040image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:28:10.211964image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:28:10.326946image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:28:10.439421image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:28:10.554962image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:28:10.679678image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:28:10.797762image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:28:11.007623image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:28:11.208028image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:28:11.395662image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:28:11.574392image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:28:11.728873image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:28:11.851586image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:28:11.964828image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:28:12.076041image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:28:12.185111image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:28:12.306614image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:28:12.438151image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:28:12.566260image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:28:12.683085image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:28:12.797555image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:28:12.944862image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-11-23T11:28:13.108400image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
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Correlations

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Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2020-11-23T11:28:42.487571image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2020-11-23T11:28:42.690325image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2020-11-23T11:28:42.895887image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

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2020-11-23T11:28:37.328624image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Sample

First rows

pricebedroomsbathroomssqft_livingsqft_lotfloorswaterfrontviewconditiongradesqft_abovesqft_basementyr_builtyr_renovatedzipcodelatlongsqft_living15sqft_lot15
0325000.031.751780110961.000371210570197909807447.6170-122.051178010640
1278000.022.50142022292.0003714200200409805947.4871-122.16515002230
2710000.021.00179040001.000471040750192309811247.6405-122.30113104000
3389900.041.0017101171761.5004617100194209805547.4497-122.212194012223
4489000.041.00115052171.5003711500195109811547.6806-122.28712205217
5440000.031.00171065561.500471200510192609813347.7185-122.35414106563
6250750.051.752140120581.0004821400195109800247.3167-122.214164010125
71540000.053.25292069602.001392120800195320089810547.6712-122.27224706735
8309950.011.001120118001.5003711200195009816847.5123-122.33123309290
9310000.032.75215065761.000471900250192609815547.7539-122.30821509071

Last rows

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17280607500.042.50300081002.0003830000199209812547.7151-122.30515508100
17281250000.032.00159081001.000371060530199609803847.3611-122.04715908100
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17284500000.042.00168038132.0004716800190009814447.5930-122.29325403996
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17286720000.042.503450396832.00031034500200209801047.3420-122.025335039750
17287506000.031.75218077001.000381480700196109817747.7594-122.36121807604
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17289480000.032.50125011033.0023812500200509810347.6619-122.35212501188

Duplicate rows

Most frequent

pricebedroomsbathroomssqft_livingsqft_lotfloorswaterfrontviewconditiongradesqft_abovesqft_basementyr_builtyr_renovatedzipcodelatlongsqft_living15sqft_lot15count
0259950.022.0010706492.00039720350200809810647.5213-122.35710709282
1529500.032.2514109053.0003914100201409811647.5818-122.402151013522
2555000.032.50194032112.0003819400200909802747.5644-122.093188030782
3585000.032.50229050892.0003922900200109800647.5443-122.172229079842